2016
DOI: 10.17148/ijarcce.2016.51290
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A Better Approach for Mining High Utility Itemset from Transactional Databases

Abstract: Data Mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Also termed as frequent itemset mining, these techniques were based on the rationale that itemsets which appear more frequently must be of more importance to the user from the business perspective .In this thesis we throw light … Show more

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